1206 Identification and validation of lipid metabolism-related molecular signature as a prognostic model for melanoma immunotherapy

Melanoma originates from the malignant transformation of epidermal melanocytes, and accounts for most lethal type skin cancer. The dysregulation lipid metabolism is greatly implicated in melanoma pathogenesis. In particular, induction peroxidation-dependent cell death ferroptosis mediates effect immunotherapy. Moreover, aberrant tumor regulates immunotherapy by affecting antigen presentation. However, significance metabolism-related expression signature predicting outcome remains elusive. Via Least Absolute Shrinkage Selection Operator (LASSO) regression analysis TCGA SKCM database, a cutaneous risk model was established based on differentially-expressed genes. score found to be an independent prognostic factor survival patients receiving anti-PD-1 addition, low-risk group had higher immune infiltration lesions. Further, it uncovered that several gene involved regulation, series vitro vivo investigations revealed intervention these molecules including ACC1, ACSL4, ACSL5, ALOX5 ARNTL could affect thereby mediated aggregate, prediction related molecular can independently predict prognosis with provide basis evaluating response melanoma.